Abiray/LTX2.3-10Eros-GGUF

LTX2.3-10Eros - GGUF

This repository contains GGUF format model files for TenStrip's LTX2.3-10Eros.

Model Details

• Original Model: TenStrip/LTX2.3-10Eros
• Format: GGUF

Available Quantizations

The following quantization tiers are provided to accommodate different hardware capabilities and VRAM constraints.

Filename	Quantization Type	Size	Recommended Use
10Eros_v1-Q8_0.gguf	Q8_0 (8-bit)	22.8 GB	Extremely high quality, near unquantized performance. Requires high VRAM.
10Eros_v1-Q6_K.gguf	Q6_K (6-bit)	17.8 GB	Very high quality, minimal precision loss.
10Eros_v1-Q5_K_M.gguf	Q5_K_M (5-bit)	16.1 GB	Excellent balance of quality and performance.
10Eros_v1-Q5_K_S.gguf	Q5_K_S (5-bit)	15.0 GB	Slightly smaller 5-bit variant for strict memory limits.
10Eros_v1-Q4_K_M.gguf	Q4_K_M (4-bit)	14.3 GB	Recommended standard. Fast inference with very low quality degradation.
10Eros_v1-Q4_K_S.gguf	Q4_K_S (4-bit)	13.2 GB	Smaller 4-bit variant, slightly lower quality than K_M.
10Eros_v1-Q4_0.gguf	Q4_0 (4-bit)	13.0 GB	Legacy 4-bit quant. Very fast inference but higher perplexity than K-quants.
10Eros_v1-Q3_K_M.gguf	Q3_K_M (3-bit)	11.1 GB	High compression. Best for constrained environments with limited RAM/VRAM.
10Eros_v1-Q3_K_S.gguf	Q3_K_S (3-bit)	10.3 GB	Maximum compression. Lowest footprint but highest quality loss.